Raw Deposit Analysis

Dataset statistics

Number of variables	18
Number of observations	31647
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	20.7 MiB
Average record size in memory	685.2 B

Variable types

Numeric	8
Categorical	6
Boolean	4

Alerts

`ID` is highly overall correlated with `housing` and 6 other fields	High correlation
`pdays` is highly overall correlated with `ID` and 1 other fields	High correlation
`previous` is highly overall correlated with `pdays`	High correlation
`housing` is highly overall correlated with `ID` and 1 other fields	High correlation
`contact` is highly overall correlated with `ID` and 1 other fields	High correlation
`month` is highly overall correlated with `ID` and 3 other fields	High correlation
`poutcome` is highly overall correlated with `ID` and 1 other fields	High correlation
`age` is highly overall correlated with `job`	High correlation
`job` is highly overall correlated with `age` and 1 other fields	High correlation
`education` is highly overall correlated with `job`	High correlation
`day` is highly overall correlated with `ID` and 1 other fields	High correlation
`subscribed` is highly overall correlated with `ID`	High correlation
`previous` is highly skewed (γ1 = 49.30234792)	Skewed
`ID` is uniformly distributed	Uniform
`ID` has unique values	Unique
`balance` has 2470 (7.8%) zeros	Zeros
`previous` has 25924 (81.9%) zeros	Zeros

Reproduction

Analysis started	2023-01-12 13:54:23.989565
Analysis finished	2023-01-12 13:55:13.470051
Duration	49.48 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

ID
Real number (ℝ)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	31647
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22563.972

Minimum	2
Maximum	45211
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	247.4 KiB

Quantile statistics

Minimum	2
5-th percentile	2251.9
Q1	11218
median	22519
Q3	33879.5
95-th percentile	42964.1
Maximum	45211
Range	45209
Interquartile range (IQR)	22661.5

Descriptive statistics

Standard deviation	13075.937
Coefficient of variation (CV)	0.5795051
Kurtosis	-1.2043412
Mean	22563.972
Median Absolute Deviation (MAD)	11330
Skewness	0.0058507956
Sum	7.1408203 × 10⁸
Variance	1.7098013 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26110	1	< 0.1%
13339	1	< 0.1%
39681	1	< 0.1%
15135	1	< 0.1%
26037	1	< 0.1%
41484	1	< 0.1%
2281	1	< 0.1%
31869	1	< 0.1%
42096	1	< 0.1%
15737	1	< 0.1%
Other values (31637)	31637	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
13	1	< 0.1%

Value	Count	Frequency (%)
45211	1	< 0.1%
45210	1	< 0.1%
45209	1	< 0.1%
45208	1	< 0.1%
45207	1	< 0.1%
45205	1	< 0.1%
45204	1	< 0.1%
45203	1	< 0.1%
45200	1	< 0.1%
45199	1	< 0.1%

age
Real number (ℝ)

Distinct	76
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.957247

Minimum	18
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	247.4 KiB

Quantile statistics

Minimum	18
5-th percentile	27
Q1	33
median	39
Q3	48
95-th percentile	59
Maximum	95
Range	77
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.625134
Coefficient of variation (CV)	0.25942013
Kurtosis	0.29797526
Mean	40.957247
Median Absolute Deviation (MAD)	7
Skewness	0.68160678
Sum	1296174
Variance	112.89348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	1457	4.6%
31	1417	4.5%
33	1406	4.4%
34	1321	4.2%
35	1314	4.2%
36	1245	3.9%
30	1219	3.9%
37	1181	3.7%
39	1079	3.4%
38	985	3.1%
Other values (66)	19023	60.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	8	< 0.1%
19	22	0.1%
20	39	0.1%
21	48	0.2%
22	86	0.3%
23	142	0.4%
24	212	0.7%
25	366	1.2%
26	564	1.8%
27	627	2.0%

Value	Count	Frequency (%)
95	1	< 0.1%
94	1	< 0.1%
93	1	< 0.1%
92	1	< 0.1%
90	1	< 0.1%
89	2	< 0.1%
88	2	< 0.1%
87	2	< 0.1%
86	8	< 0.1%
84	5	< 0.1%

job
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

blue-collar	6842
management	6639
technician	5307
admin.	3631
services	2903
Other values (7)	6325

Length

Max length	13
Median length	12
Mean length	9.487408
Min length	6

Characters and Unicode

Total characters	300248
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	admin.
2nd row	unknown
3rd row	services
4th row	management
5th row	technician

Common Values

Value	Count	Frequency (%)
blue-collar	6842	21.6%
management	6639	21.0%
technician	5307	16.8%
admin.	3631	11.5%
services	2903	9.2%
retired	1574	5.0%
self-employed	1123	3.5%
entrepreneur	1008	3.2%
unemployed	905	2.9%
housemaid	874	2.8%
Other values (2)	841	2.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
blue-collar	6842	21.6%
management	6639	21.0%
technician	5307	16.8%
admin	3631	11.5%
services	2903	9.2%
retired	1574	5.0%
self-employed	1123	3.5%
entrepreneur	1008	3.2%
unemployed	905	2.9%
housemaid	874	2.8%
Other values (2)	841	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	45101	15.0%
n	31697	10.6%
a	29932	10.0%
l	23677	7.9%
c	20359	6.8%
m	19811	6.6%
i	19596	6.5%
r	15917	5.3%
t	15798	5.3%
u	10470	3.5%
Other values (14)	67890	22.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	288652	96.1%
Dash Punctuation	7965	2.7%
Other Punctuation	3631	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	45101	15.6%
n	31697	11.0%
a	29932	10.4%
l	23677	8.2%
c	20359	7.1%
m	19811	6.9%
i	19596	6.8%
r	15917	5.5%
t	15798	5.5%
u	10470	3.6%
Other values (12)	56294	19.5%

Dash Punctuation

Value	Count	Frequency (%)
-	7965	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	3631	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	288652	96.1%
Common	11596	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	45101	15.6%
n	31697	11.0%
a	29932	10.4%
l	23677	8.2%
c	20359	7.1%
m	19811	6.9%
i	19596	6.8%
r	15917	5.5%
t	15798	5.5%
u	10470	3.6%
Other values (12)	56294	19.5%

Common

Value	Count	Frequency (%)
-	7965	68.7%
.	3631	31.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300248	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	45101	15.0%
n	31697	10.6%
a	29932	10.0%
l	23677	7.9%
c	20359	6.8%
m	19811	6.6%
i	19596	6.5%
r	15917	5.3%
t	15798	5.3%
u	10470	3.5%
Other values (14)	67890	22.6%

marital
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

married	19095
single	8922
divorced	3630

Length

Max length	8
Median length	7
Mean length	6.8327804
Min length	6

Characters and Unicode

Total characters	216237
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	married
2nd row	married
3rd row	married
4th row	divorced
5th row	married

Common Values

Value	Count	Frequency (%)
married	19095	60.3%
single	8922	28.2%
divorced	3630	11.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	19095	60.3%
single	8922	28.2%
divorced	3630	11.5%

Most occurring characters

Value	Count	Frequency (%)
r	41820	19.3%
i	31647	14.6%
e	31647	14.6%
d	26355	12.2%
m	19095	8.8%
a	19095	8.8%
s	8922	4.1%
n	8922	4.1%
g	8922	4.1%
l	8922	4.1%
Other values (3)	10890	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	216237	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	41820	19.3%
i	31647	14.6%
e	31647	14.6%
d	26355	12.2%
m	19095	8.8%
a	19095	8.8%
s	8922	4.1%
n	8922	4.1%
g	8922	4.1%
l	8922	4.1%
Other values (3)	10890	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	216237	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	41820	19.3%
i	31647	14.6%
e	31647	14.6%
d	26355	12.2%
m	19095	8.8%
a	19095	8.8%
s	8922	4.1%
n	8922	4.1%
g	8922	4.1%
l	8922	4.1%
Other values (3)	10890	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	216237	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	41820	19.3%
i	31647	14.6%
e	31647	14.6%
d	26355	12.2%
m	19095	8.8%
a	19095	8.8%
s	8922	4.1%
n	8922	4.1%
g	8922	4.1%
l	8922	4.1%
Other values (3)	10890	5.0%

education
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

secondary	16224
tertiary	9301
primary	4808
unknown	1314

Length

Max length	9
Median length	9
Mean length	8.3192088
Min length	7

Characters and Unicode

Total characters	263278
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	secondary
3rd row	secondary
4th row	tertiary
5th row	secondary

Common Values

Value	Count	Frequency (%)
secondary	16224	51.3%
tertiary	9301	29.4%
primary	4808	15.2%
unknown	1314	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
secondary	16224	51.3%
tertiary	9301	29.4%
primary	4808	15.2%
unknown	1314	4.2%

Most occurring characters

Value	Count	Frequency (%)
r	44442	16.9%
a	30333	11.5%
y	30333	11.5%
e	25525	9.7%
n	20166	7.7%
t	18602	7.1%
o	17538	6.7%
s	16224	6.2%
c	16224	6.2%
d	16224	6.2%
Other values (6)	27667	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	263278	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	44442	16.9%
a	30333	11.5%
y	30333	11.5%
e	25525	9.7%
n	20166	7.7%
t	18602	7.1%
o	17538	6.7%
s	16224	6.2%
c	16224	6.2%
d	16224	6.2%
Other values (6)	27667	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	263278	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	44442	16.9%
a	30333	11.5%
y	30333	11.5%
e	25525	9.7%
n	20166	7.7%
t	18602	7.1%
o	17538	6.7%
s	16224	6.2%
c	16224	6.2%
d	16224	6.2%
Other values (6)	27667	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263278	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	44442	16.9%
a	30333	11.5%
y	30333	11.5%
e	25525	9.7%
n	20166	7.7%
t	18602	7.1%
o	17538	6.7%
s	16224	6.2%
c	16224	6.2%
d	16224	6.2%
Other values (6)	27667	10.5%

default
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

False	31062
True	585

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	31062	98.2%
True	585	1.8%

balance
Real number (ℝ)

Distinct	6326
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1363.8903

Minimum	-8019
Maximum	102127
Zeros	2470
Zeros (%)	7.8%
Negative	2665
Negative (%)	8.4%
Memory size	247.4 KiB

Quantile statistics

Minimum	-8019
5-th percentile	-173
Q1	73
median	450
Q3	1431
95-th percentile	5768
Maximum	102127
Range	110146
Interquartile range (IQR)	1358

Descriptive statistics

Standard deviation	3028.3043
Coefficient of variation (CV)	2.2203431
Kurtosis	126.45128
Mean	1363.8903
Median Absolute Deviation (MAD)	450
Skewness	7.9956956
Sum	43163035
Variance	9170626.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2470	7.8%
1	137	0.4%
2	109	0.3%
4	95	0.3%
3	88	0.3%
5	78	0.2%
6	62	0.2%
8	52	0.2%
10	48	0.2%
23	48	0.2%
Other values (6316)	28460	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-8019	1	< 0.1%
-6847	1	< 0.1%
-4057	1	< 0.1%
-3372	1	< 0.1%
-3058	1	< 0.1%
-2712	1	< 0.1%
-2604	1	< 0.1%
-2282	1	< 0.1%
-2122	1	< 0.1%
-2082	1	< 0.1%

Value	Count	Frequency (%)
102127	1	< 0.1%
81204	1	< 0.1%
66721	1	< 0.1%
66653	1	< 0.1%
58932	1	< 0.1%
58544	1	< 0.1%
57435	1	< 0.1%
56831	1	< 0.1%
52587	2	< 0.1%
52527	1	< 0.1%

housing
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

True	17584
False	14063

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	17584	55.6%
False	14063	44.4%

loan
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

False	26516
True	5131

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	26516	83.8%
True	5131	16.2%

contact
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

cellular	20423
unknown	9177
telephone	2047

Length

Max length	9
Median length	8
Mean length	7.7747022
Min length	7

Characters and Unicode

Total characters	246046
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	telephone
2nd row	cellular
3rd row	cellular
4th row	cellular
5th row	cellular

Common Values

Value	Count	Frequency (%)
cellular	20423	64.5%
unknown	9177	29.0%
telephone	2047	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cellular	20423	64.5%
unknown	9177	29.0%
telephone	2047	6.5%

Most occurring characters

Value	Count	Frequency (%)
l	63316	25.7%
u	29600	12.0%
n	29578	12.0%
e	26564	10.8%
c	20423	8.3%
a	20423	8.3%
r	20423	8.3%
o	11224	4.6%
k	9177	3.7%
w	9177	3.7%
Other values (3)	6141	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	246046	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	63316	25.7%
u	29600	12.0%
n	29578	12.0%
e	26564	10.8%
c	20423	8.3%
a	20423	8.3%
r	20423	8.3%
o	11224	4.6%
k	9177	3.7%
w	9177	3.7%
Other values (3)	6141	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	246046	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	63316	25.7%
u	29600	12.0%
n	29578	12.0%
e	26564	10.8%
c	20423	8.3%
a	20423	8.3%
r	20423	8.3%
o	11224	4.6%
k	9177	3.7%
w	9177	3.7%
Other values (3)	6141	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	246046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	63316	25.7%
u	29600	12.0%
n	29578	12.0%
e	26564	10.8%
c	20423	8.3%
a	20423	8.3%
r	20423	8.3%
o	11224	4.6%
k	9177	3.7%
w	9177	3.7%
Other values (3)	6141	2.5%

day
Real number (ℝ)

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.835466

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	247.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	8
median	16
Q3	21
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.3370967
Coefficient of variation (CV)	0.52648255
Kurtosis	-1.067397
Mean	15.835466
Median Absolute Deviation (MAD)	7
Skewness	0.087185435
Sum	501145
Variance	69.507182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
20	1909	6.0%
18	1612	5.1%
21	1445	4.6%
5	1373	4.3%
6	1348	4.3%
17	1344	4.2%
14	1283	4.1%
8	1281	4.0%
28	1276	4.0%
29	1241	3.9%
Other values (21)	17535	55.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	220	0.7%
2	900	2.8%
3	761	2.4%
4	1016	3.2%
5	1373	4.3%
6	1348	4.3%
7	1240	3.9%
8	1281	4.0%
9	1097	3.5%
10	360	1.1%

Value	Count	Frequency (%)
31	460	1.5%
30	1082	3.4%
29	1241	3.9%
28	1276	4.0%
27	804	2.5%
26	761	2.4%
25	586	1.9%
24	305	1.0%
23	657	2.1%
22	640	2.0%

month
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

may	9669
jul	4844
aug	4333
jun	3738
nov	2783
Other values (7)	6280

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	94941
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nov
2nd row	jul
3rd row	jul
4th row	jun
5th row	feb

Common Values

Value	Count	Frequency (%)
may	9669	30.6%
jul	4844	15.3%
aug	4333	13.7%
jun	3738	11.8%
nov	2783	8.8%
apr	2055	6.5%
feb	1827	5.8%
jan	977	3.1%
oct	512	1.6%
sep	410	1.3%
Other values (2)	499	1.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
may	9669	30.6%
jul	4844	15.3%
aug	4333	13.7%
jun	3738	11.8%
nov	2783	8.8%
apr	2055	6.5%
feb	1827	5.8%
jan	977	3.1%
oct	512	1.6%
sep	410	1.3%
Other values (2)	499	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	17376	18.3%
u	12915	13.6%
m	10011	10.5%
y	9669	10.2%
j	9559	10.1%
n	7498	7.9%
l	4844	5.1%
g	4333	4.6%
o	3295	3.5%
v	2783	2.9%
Other values (9)	12658	13.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	94941	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	17376	18.3%
u	12915	13.6%
m	10011	10.5%
y	9669	10.2%
j	9559	10.1%
n	7498	7.9%
l	4844	5.1%
g	4333	4.6%
o	3295	3.5%
v	2783	2.9%
Other values (9)	12658	13.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94941	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	17376	18.3%
u	12915	13.6%
m	10011	10.5%
y	9669	10.2%
j	9559	10.1%
n	7498	7.9%
l	4844	5.1%
g	4333	4.6%
o	3295	3.5%
v	2783	2.9%
Other values (9)	12658	13.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94941	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	17376	18.3%
u	12915	13.6%
m	10011	10.5%
y	9669	10.2%
j	9559	10.1%
n	7498	7.9%
l	4844	5.1%
g	4333	4.6%
o	3295	3.5%
v	2783	2.9%
Other values (9)	12658	13.3%

duration
Real number (ℝ)

Distinct	1454
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	258.11353

Minimum	0
Maximum	4918
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	247.4 KiB

Quantile statistics

Minimum	0
5-th percentile	36
Q1	104
median	180
Q3	318.5
95-th percentile	752
Maximum	4918
Range	4918
Interquartile range (IQR)	214.5

Descriptive statistics

Standard deviation	257.11897
Coefficient of variation (CV)	0.99614681
Kurtosis	19.487627
Mean	258.11353
Median Absolute Deviation (MAD)	93
Skewness	3.1997657
Sum	8168519
Variance	66110.166
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	135	0.4%
124	130	0.4%
139	127	0.4%
88	127	0.4%
104	127	0.4%
112	125	0.4%
76	125	0.4%
135	124	0.4%
136	123	0.4%
166	123	0.4%
Other values (1444)	30381	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
2	3	< 0.1%
3	3	< 0.1%
4	11	< 0.1%
5	20	0.1%
6	32	0.1%
7	43	0.1%
8	60	0.2%
9	61	0.2%
10	49	0.2%

Value	Count	Frequency (%)
4918	1	< 0.1%
3881	1	< 0.1%
3785	1	< 0.1%
3422	1	< 0.1%
3366	1	< 0.1%
3322	1	< 0.1%
3284	1	< 0.1%
3183	1	< 0.1%
3102	1	< 0.1%
3076	1	< 0.1%

campaign
Real number (ℝ)

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7656966

Minimum	1
Maximum	63
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	247.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	8
Maximum	63
Range	62
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.11383
Coefficient of variation (CV)	1.1258755
Kurtosis	38.057995
Mean	2.7656966
Median Absolute Deviation (MAD)	1
Skewness	4.8739349
Sum	87526
Variance	9.6959376
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
1	12262	38.7%
2	8798	27.8%
3	3858	12.2%
4	2442	7.7%
5	1245	3.9%
6	916	2.9%
7	518	1.6%
8	356	1.1%
9	236	0.7%
10	184	0.6%
Other values (35)	832	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	12262	38.7%
2	8798	27.8%
3	3858	12.2%
4	2442	7.7%
5	1245	3.9%
6	916	2.9%
7	518	1.6%
8	356	1.1%
9	236	0.7%
10	184	0.6%

Value	Count	Frequency (%)
63	1	< 0.1%
55	1	< 0.1%
50	1	< 0.1%
44	1	< 0.1%
43	3	< 0.1%
41	1	< 0.1%
39	1	< 0.1%
38	3	< 0.1%
37	2	< 0.1%
36	1	< 0.1%

pdays
Real number (ℝ)

Distinct	509
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.576042

Minimum	-1
Maximum	871
Zeros	0
Zeros (%)	0.0%
Negative	25924
Negative (%)	81.9%
Memory size	247.4 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	313
Maximum	871
Range	872
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	99.317592
Coefficient of variation (CV)	2.5095383
Kurtosis	7.1112947
Mean	39.576042
Median Absolute Deviation (MAD)	0
Skewness	2.6423742
Sum	1252463
Variance	9863.9842
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	25924	81.9%
182	118	0.4%
92	100	0.3%
91	87	0.3%
183	85	0.3%
181	75	0.2%
370	65	0.2%
184	62	0.2%
95	54	0.2%
350	51	0.2%
Other values (499)	5026	15.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	25924	81.9%
1	11	< 0.1%
2	25	0.1%
4	2	< 0.1%
5	7	< 0.1%
6	7	< 0.1%
7	6	< 0.1%
8	16	0.1%
9	8	< 0.1%
10	6	< 0.1%

Value	Count	Frequency (%)
871	1	< 0.1%
854	1	< 0.1%
842	1	< 0.1%
838	1	< 0.1%
805	1	< 0.1%
804	1	< 0.1%
792	2	< 0.1%
791	1	< 0.1%
784	1	< 0.1%
782	1	< 0.1%

previous
Real number (ℝ)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	38
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.57427244

Minimum	0
Maximum	275
Zeros	25924
Zeros (%)	81.9%
Negative	0
Negative (%)	0.0%
Memory size	247.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	275
Range	275
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.4225289
Coefficient of variation (CV)	4.2184313
Kurtosis	5236.4116
Mean	0.57427244
Median Absolute Deviation (MAD)	0
Skewness	49.302348
Sum	18174
Variance	5.868646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
0	25924	81.9%
1	1921	6.1%
2	1481	4.7%
3	780	2.5%
4	501	1.6%
5	311	1.0%
6	188	0.6%
7	138	0.4%
8	81	0.3%
9	64	0.2%
Other values (28)	258	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	25924	81.9%
1	1921	6.1%
2	1481	4.7%
3	780	2.5%
4	501	1.6%
5	311	1.0%
6	188	0.6%
7	138	0.4%
8	81	0.3%
9	64	0.2%

Value	Count	Frequency (%)
275	1	< 0.1%
58	1	< 0.1%
41	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%
35	1	< 0.1%
32	1	< 0.1%
30	1	< 0.1%
29	2	< 0.1%
28	1	< 0.1%

poutcome
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

unknown	25929
failure	3362
other	1288
success	1068

Length

Max length	7
Median length	7
Mean length	6.9186021
Min length	5

Characters and Unicode

Total characters	218953
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	unknown
3rd row	unknown
4th row	success
5th row	unknown

Common Values

Value	Count	Frequency (%)
unknown	25929	81.9%
failure	3362	10.6%
other	1288	4.1%
success	1068	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	25929	81.9%
failure	3362	10.6%
other	1288	4.1%
success	1068	3.4%

Most occurring characters

Value	Count	Frequency (%)
n	77787	35.5%
u	30359	13.9%
o	27217	12.4%
k	25929	11.8%
w	25929	11.8%
e	5718	2.6%
r	4650	2.1%
f	3362	1.5%
a	3362	1.5%
i	3362	1.5%
Other values (5)	11278	5.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	218953	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	77787	35.5%
u	30359	13.9%
o	27217	12.4%
k	25929	11.8%
w	25929	11.8%
e	5718	2.6%
r	4650	2.1%
f	3362	1.5%
a	3362	1.5%
i	3362	1.5%
Other values (5)	11278	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	218953	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	77787	35.5%
u	30359	13.9%
o	27217	12.4%
k	25929	11.8%
w	25929	11.8%
e	5718	2.6%
r	4650	2.1%
f	3362	1.5%
a	3362	1.5%
i	3362	1.5%
Other values (5)	11278	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	218953	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	77787	35.5%
u	30359	13.9%
o	27217	12.4%
k	25929	11.8%
w	25929	11.8%
e	5718	2.6%
r	4650	2.1%
f	3362	1.5%
a	3362	1.5%
i	3362	1.5%
Other values (5)	11278	5.2%

subscribed
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

False	27932
True	3715

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	27932	88.3%
True	3715	11.7%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	ID	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	subscribed
0	26110	56	admin.	married	unknown	no	1933	no	no	telephone	19	nov	44	2	-1	0	unknown	no
1	40576	31	unknown	married	secondary	no	3	no	no	cellular	20	jul	91	2	-1	0	unknown	no
2	15320	27	services	married	secondary	no	891	yes	no	cellular	18	jul	240	1	-1	0	unknown	no
3	43962	57	management	divorced	tertiary	no	3287	no	no	cellular	22	jun	867	1	84	3	success	yes
4	29842	31	technician	married	secondary	no	119	yes	no	cellular	4	feb	380	1	-1	0	unknown	no
5	29390	33	management	single	tertiary	no	0	yes	no	cellular	2	feb	116	3	-1	0	unknown	no
6	40444	56	retired	married	secondary	no	1044	no	no	telephone	3	jul	353	2	-1	0	unknown	yes
7	40194	50	technician	single	secondary	no	1811	no	no	cellular	8	jun	97	4	-1	0	unknown	no
8	29824	45	blue-collar	divorced	secondary	no	1951	yes	no	cellular	4	feb	692	1	-1	0	unknown	no
9	44676	35	admin.	married	secondary	no	1204	no	no	cellular	3	sep	789	2	-1	0	unknown	no

	ID	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	subscribed
31637	20110	44	technician	married	secondary	no	5163	no	no	cellular	11	aug	48	2	-1	0	unknown	no
31638	16309	29	blue-collar	married	secondary	no	721	yes	no	cellular	23	jul	644	1	-1	0	unknown	no
31639	279	38	services	single	secondary	no	570	yes	no	unknown	5	may	75	2	-1	0	unknown	no
31640	12109	43	management	single	secondary	no	2968	no	no	unknown	20	jun	30	4	-1	0	unknown	no
31641	9476	37	technician	single	tertiary	no	1309	no	no	unknown	6	jun	442	2	-1	0	unknown	no
31642	36483	29	management	single	tertiary	no	0	yes	no	cellular	12	may	116	2	-1	0	unknown	no
31643	40178	53	management	divorced	tertiary	no	380	no	yes	cellular	5	jun	438	2	-1	0	unknown	yes
31644	19710	32	management	single	tertiary	no	312	no	no	cellular	7	aug	37	3	-1	0	unknown	no
31645	38556	57	technician	married	secondary	no	225	yes	no	telephone	15	may	22	7	337	12	failure	no
31646	14156	55	management	divorced	secondary	no	204	yes	no	cellular	11	jul	1973	2	-1	0	unknown	yes

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block